ClonEval: An Open Voice Cloning Benchmark

Christop, Iwona, Kuczyński, Tomasz, Kubis, Marek

arXiv.org Artificial Intelligence 

ABSTRACT We present a new benchmark for voice cloning text-to-speech models. The benchmark consists of an evaluation protocol, an open-source library for assessing the performance of voice cloning models, and an accompanying leaderboard. The paper discusses design considerations and presents a detailed description of the evaluation procedure. The usage of the software library is explained, along with the organization of the leaderboard. The evaluation results of selected open-source models are reported.

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